Meshify IOT Assessment

Project Design Goals

---

• User shows up on splash page that explains that they will see a summary of the hottest words in IOT
• When the user hits the splash page, the serverless api gets a request such that the user gets an experience that feels instantaneous
• When you decided to see the list of hot words, you can hover over each item in the list, and then you get taken to a specific route to show pertinent data for that list
• The pertinent data shows a set of interesting automatable facts
  • tweets that had that word
  • accumulated number of favorites from tweets that had word
  • accumulated number of retweets from tweets that had word
  • frequency of occurence in tweets
  • ratio out of total number of unique words
  • buzz factor (likelihood that given the occurence of this word another hot word occurs in the tweet that had that word in it)
  • definition of the word if its not a proper noun
  • synonyms if its not a proper noun
  • etymology if its not a proper noun
  • if it is a proper noun, provide a link to searching that word on twitter

Project Tool Choices

---

• Near Perfect Lighthouse scores
• SSR and Routing with next.js
• CSS-in-JS with Styled Components
• Static typing with TypeScript
• Serverless backend with Zeit's now (going to try this out for the first time)
• Any data vizualization will be done with Semiotic (semiotic doesn't support ssr)

General Design Concept

---

The Spotify Year Wrapped Up app is impressively in its minimalism, its effective use of color and animation. It does a lot of visualization and I would love to draw from it.

Running locally

---

0. In a terminal, run git clone [email protected]:jdetle/code_assessment && run npm i
1. In one terminal run npm run api
2. You should see that the api/aggregateV2 lambda is up and running.
3. In a separate terminal run npm run dev
4. Your next.js app should be running on localhost:3000

Deploying

---

1. Install the now cli with npm i -g now
2. Add the appropriate twitter consumer_key with now secret add consumer_key CONSUMER_KEY_HERE
3. Add the appropriate twitter consumer secret with now secret add consumer_secret CONSUMER_SECRET_HERE
4. Then run now

Alternatively, push to master and the now github integration should continuously deploy